Case Study: Sensor Selection for Remote Monitoring

In a previous blog post, I highlighted general principles for implementing and scaling systems to support remote monitoring of chronic conditions, namely congestive heart failure (CHF), Diabetes Mellitus (Type II Diabetes) and chronic obstructive pulmonary disease (COPD).  In this blog post I will focus on COPD as a case study for the development, implementation and scaling of a remote monitoring system. Definition of COPD The World Health Organization (WHO) defines COPD as a “…lung disease characterized by chronic obstruction of lung airflow that interferes with normal breathing and is not fully reversible […] diagnosis is confirmed by a simple test called spirometry, which measures how deeply a person can breathe and how fast air can move into and out of the lungs.”  The Mayo Clinic further adds,  “People with COPD are at increased risk of developing heart disease, lung cancer and a variety of other conditions, is caused by long-term exposure to irritating gases or particulate matter, most often from cigarette smoke. COPD is treatable. With proper management, most people with COPD can achieve good symptom control and quality of life, as well as reduced risk of other associated conditions.”  COPD is treatable, not curable, patients can be managed and the gold measurement standard for COPD is the use of spirometry.  Spirometry Spirometry involves “measuring volumes of gas inhaled and exhaled from the lungs….making a forced expiration from ...
Source: Medical Connectivity Consulting - Category: Information Technology Authors: Tags: Mobile Health Source Type: blogs